In order to investigate whether better global model can further boost the performance of our model, we incorporate the recent proposed Dynamic Context Augmentation (DCA)https://github.com/YoungXiyuan/DCA/ [1]}.
DCA is a global entity linking model featuring better efficiency and effectiveness than that of [2]} ganea2017deep by
breaking the “all-mention coherence" assumption.
Compared to BERT-Entity-Sim equipped with [2]} ganea2017deep's global model in Table 8, BERT-Entity-Sim (local & DCA global) model gains a further improvement of 0.12 F1 on AIDA-B and 0.70 F1 on five out-domain test sets on average.
This shows that better global model indeed can further boost the performance of our proposed model.
